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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior DevOps Engineer - **Company:** WebAI, Inc. - **Location:** Austin, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Kubernetes Security, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, Cloud Computing Security, Cloud Engineering, Computer Programming, DevOps, Disaster Recovery, Distributed Systems, Github, Monitoring of Systems, Identity and Access Management, Python (Programming Language), Key Management, Network Segmentation, Octopus Deploy, Reliability Engineering, Ansible, Prometheus, Runbook, Management of Software Versions, Datadog, Pulumi, Google Cloud, Istio, Grafana, Multi-Cloud, HybridCloud, AI Platforms, Gitlab-ci, Kubernetes, Linkerd (Service Mesh), Machine Learning Operations, Multiaccess Edge Computing, Terraform, Docker, Jenkins, Static Application Security Testing, Vulnerability Analysis, Dynamic Application Security Testing - **Published:** November 14, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-devops-engineer-austin-tx--83bcb79c-b1d7-4732-beb4-d2fdba7960b0 ## About the Role DevOps, Embedded Systems, Sales Closing Skills, Artificial Intelligence (AI), Intellectual Property (IP), Best Practices, Cloud Computing, DevOps, Public Cloud, Team Player, * 5-8+ years of experience in DevOps, Site Reliability Engineering, or Infrastructure Engineering supporting production systems * Strong expertise with Docker, Kubernetes, and cloud-native architectures * 3-5+ years of hands-on experience implementing Infrastructure as Code (Terraform, Pulumi, Ansible) * Experience working with AWS, Azure, or GCP including compute, networking, and managed services * Proven experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, ArgoCD) * Programming experience in Python (preferred), Go, or Bash for automation * Experience implementing monitoring and observability in production environments * Strong understanding of cloud security best practices and access management * Strong communication skills and ability to collaborate cross-functionally Preferred Skills: * Exposure to multi-cloud or hybrid cloud environments * Experience supporting AI/ML or MLOps workflows * Familiarity with service mesh technologies (Istio, Linkerd) * Experience with edge computing or distributed systems * Understanding of cost optimization and cloud efficiency practices * Relevant certifications (CKA, AWS Solutions Architect, Terraform Associate, etc.) ## Description We are seeking a Senior DevOps Engineer to design, build, and scale secure infrastructure supporting AI workloads across cloud and edge environments. This is a high-impact individual contributor role where you will help drive infrastructure architecture, platform reliability, and security best practices across the organization. You will work closely with engineering teams to implement scalable, automated infrastructure solutions that enable our AI platform to operate efficiently across diverse deployment scenarios-from public cloud to hybrid and edge environments. This role requires strong technical depth, production experience, and the ability to translate complex requirements into resilient infrastructure systems. This position will be hybrid in Austin Texas or Grand Rapids Michigan., * Design and implement secure, scalable infrastructure across multi-cloud (AWS, Azure, GCP), hybrid, and edge environments * Build and maintain Infrastructure as Code (Terraform, Pulumi, Ansible) using GitOps workflows and automated validation * Deploy and operate Kubernetes clusters optimized for AI/ML workloads, including GPU scheduling and container security best practices * Develop secure CI/CD pipelines with integrated security controls (SAST, DAST, vulnerability scanning, secrets management) * Support MLOps infrastructure initiatives including model deployment automation, versioning, and lifecycle management * Implement observability and monitoring frameworks using tools such as Prometheus, Grafana, ELK, or Datadog * Enforce security best practices including IAM, encryption, network segmentation, and compliance automation * Participate in incident response, reliability improvements, postmortems, and disaster recovery planning * Develop reusable infrastructure modules and documentation (runbooks, architecture docs, standards) * Mentor junior and mid-level engineers on DevOps best practices and infrastructure design, * Ownership - Taking full responsibility for one's actions and decisions, demonstrating commitment to the success of our clients.* * * * * * Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement. * Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.